{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:16:01.581503Z",
     "start_time": "2018-08-06T12:16:01.377552Z"
    }
   },
   "outputs": [],
   "source": [
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "import pdb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:16:02.981513Z",
     "start_time": "2018-08-06T12:16:01.884463Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/f/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "from config import get_config\n",
    "import argparse\n",
    "from Learner import face_learner\n",
    "from data.data_pipe import get_val_pair\n",
    "from torchvision import transforms as trans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:16:15.802435Z",
     "start_time": "2018-08-06T12:16:15.225902Z"
    }
   },
   "outputs": [],
   "source": [
    "conf = get_config(training=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:07:28.254338Z",
     "start_time": "2018-08-06T12:07:25.077127Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data_path': PosixPath('data'), 'work_path': PosixPath('work_space'), 'model_path': PosixPath('work_space/models'), 'log_path': PosixPath('work_space/log'), 'save_path': PosixPath('work_space/save'), 'input_size': [112, 112], 'embedding_size': 512, 'use_mobilfacenet': False, 'net_depth': 50, 'drop_ratio': 0.6, 'net_mode': 'ir_se', 'device': device(type='cuda', index=0), 'test_transform': Compose(\n",
      "    ToTensor()\n",
      "    Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])\n",
      "), 'data_mode': 'emore', 'vgg_folder': PosixPath('data/faces_vgg_112x112'), 'ms1m_folder': PosixPath('data/faces_ms1m_112x112'), 'emore_folder': PosixPath('data/faces_emore'), 'batch_size': 100, 'facebank_path': PosixPath('data/facebank'), 'threshold': 1.5, 'face_limit': 10, 'min_face_size': 30}\n",
      "ir_se_50 model generated\n"
     ]
    }
   ],
   "source": [
    "learner = face_learner(conf, inference=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:16:48.699975Z",
     "start_time": "2018-08-05T08:16:48.577620Z"
    }
   },
   "outputs": [],
   "source": [
    "learner.load_state(conf, 'ir_se50.pth', model_only=True, from_save_folder=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:17:34.370828Z",
     "start_time": "2018-08-05T08:16:54.595433Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vgg2_fp - accuray:0.9386000000000001, threshold:1.653\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FF77DFA7390>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vgg2_fp, vgg2_fp_issame = get_val_pair(conf.emore_folder, 'vgg2_fp')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, vgg2_fp, vgg2_fp_issame, nrof_folds=10, tta=True)\n",
    "print('vgg2_fp - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:18:22.280104Z",
     "start_time": "2018-08-05T08:17:34.371667Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "agedb_30 - accuray:0.9621666666666666, threshold:1.532\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FF77EB94978>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agedb_30, agedb_30_issame = get_val_pair(conf.emore_folder, 'agedb_30')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, agedb_30, agedb_30_issame, nrof_folds=10, tta=True)\n",
    "print('agedb_30 - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:19:10.989848Z",
     "start_time": "2018-08-05T08:18:22.280898Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calfw - accuray:0.9556666666666667, threshold:1.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FF788433780>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calfw, calfw_issame = get_val_pair(conf.emore_folder, 'calfw')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, calfw, calfw_issame, nrof_folds=10, tta=True)\n",
    "print('calfw - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:20:07.093886Z",
     "start_time": "2018-08-05T08:19:10.990656Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cfp_ff - accuray:0.9962857142857142, threshold:1.4509999999999998\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FF77BBFC198>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cfp_ff, cfp_ff_issame = get_val_pair(conf.emore_folder, 'cfp_ff')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, cfp_ff, cfp_ff_issame, nrof_folds=10, tta=True)\n",
    "print('cfp_ff - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:21:03.272833Z",
     "start_time": "2018-08-05T08:20:07.094703Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cfp_fp - accuray:0.9504285714285714, threshold:1.6420000000000001\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FF77DE49C88>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cfp_fp, cfp_fp_issame = get_val_pair(conf.emore_folder, 'cfp_fp')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, cfp_fp, cfp_fp_issame, nrof_folds=10, tta=True)\n",
    "print('cfp_fp - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:21:51.583959Z",
     "start_time": "2018-08-05T08:21:03.273666Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cplfw - accuray:0.9106666666666665, threshold:1.59\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FF77B9E9B70>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cplfw, cplfw_issame = get_val_pair(conf.emore_folder, 'cplfw')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, cplfw, cplfw_issame, nrof_folds=10, tta=True)\n",
    "print('cplfw - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-05T08:22:39.844455Z",
     "start_time": "2018-08-05T08:21:51.584778Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lfw - accuray:0.9951666666666666, threshold:1.392\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FF77DF101D0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lfw, lfw_issame = get_val_pair(conf.emore_folder, 'lfw')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, lfw, lfw_issame, nrof_folds=10, tta=True)\n",
    "print('lfw - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:16:20.800212Z",
     "start_time": "2018-08-06T12:16:20.779466Z"
    }
   },
   "outputs": [],
   "source": [
    "conf.use_mobilfacenet = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:16:23.221644Z",
     "start_time": "2018-08-06T12:16:21.054952Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data_path': PosixPath('data'), 'work_path': PosixPath('work_space'), 'model_path': PosixPath('work_space/models'), 'log_path': PosixPath('work_space/log'), 'save_path': PosixPath('work_space/save'), 'input_size': [112, 112], 'embedding_size': 512, 'use_mobilfacenet': True, 'net_depth': 50, 'drop_ratio': 0.6, 'net_mode': 'ir_se', 'device': device(type='cuda', index=0), 'test_transform': Compose(\n",
      "    ToTensor()\n",
      "    Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])\n",
      "), 'data_mode': 'emore', 'vgg_folder': PosixPath('data/faces_vgg_112x112'), 'ms1m_folder': PosixPath('data/faces_ms1m_112x112'), 'emore_folder': PosixPath('data/faces_emore'), 'batch_size': 100, 'facebank_path': PosixPath('data/facebank'), 'threshold': 1.5, 'face_limit': 10, 'min_face_size': 30}\n",
      "MobileFaceNet model generated\n"
     ]
    }
   ],
   "source": [
    "learner = face_learner(conf, inference=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:16:28.597709Z",
     "start_time": "2018-08-06T12:16:28.517182Z"
    }
   },
   "outputs": [],
   "source": [
    "learner.load_state(conf, 'mobilefacenet.pth', True, True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:08:41.321635Z",
     "start_time": "2018-08-06T12:08:25.989406Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vgg2_fp - accuray:0.9100000000000001, threshold:1.75\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FDC047F4B70>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vgg2_fp, vgg2_fp_issame = get_val_pair(conf.emore_folder, 'vgg2_fp')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, vgg2_fp, vgg2_fp_issame, nrof_folds=10, tta=True)\n",
    "print('vgg2_fp - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:08:58.154562Z",
     "start_time": "2018-08-06T12:08:41.322814Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "agedb_30 - accuray:0.9346666666666665, threshold:1.6200000000000003\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FDC04884AC8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agedb_30, agedb_30_issame = get_val_pair(conf.emore_folder, 'agedb_30')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, agedb_30, agedb_30_issame, nrof_folds=10, tta=True)\n",
    "print('agedb_30 - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:09:15.709817Z",
     "start_time": "2018-08-06T12:08:58.155453Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calfw - accuray:0.9401666666666667, threshold:1.5299999999999998\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FDC078CA5F8>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calfw, calfw_issame = get_val_pair(conf.emore_folder, 'calfw')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, calfw, calfw_issame, nrof_folds=10, tta=True)\n",
    "print('calfw - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:09:35.552967Z",
     "start_time": "2018-08-06T12:09:15.711000Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cfp_ff - accuray:0.9891428571428573, threshold:1.498\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FDC0784A0F0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cfp_ff, cfp_ff_issame = get_val_pair(conf.emore_folder, 'cfp_ff')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, cfp_ff, cfp_ff_issame, nrof_folds=10, tta=True)\n",
    "print('cfp_ff - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:09:54.973120Z",
     "start_time": "2018-08-06T12:09:35.553840Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cfp_fp - accuray:0.8985714285714284, threshold:1.719\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FDC04B97A58>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cfp_fp, cfp_fp_issame = get_val_pair(conf.emore_folder, 'cfp_fp')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, cfp_fp, cfp_fp_issame, nrof_folds=10, tta=True)\n",
    "print('cfp_fp - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:10:13.593599Z",
     "start_time": "2018-08-06T12:09:54.973974Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cplfw - accuray:0.866, threshold:1.67\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FDC04B740B8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cplfw, cplfw_issame = get_val_pair(conf.emore_folder, 'cplfw')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, cplfw, cplfw_issame, nrof_folds=10, tta=True)\n",
    "print('cplfw - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-06T12:10:30.937786Z",
     "start_time": "2018-08-06T12:10:13.594457Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lfw - accuray:0.9918333333333333, threshold:1.521\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=432x288 at 0x7FDC04AD29B0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lfw, lfw_issame = get_val_pair(conf.emore_folder, 'lfw')\n",
    "accuracy, best_threshold, roc_curve_tensor = learner.evaluate(conf, lfw, lfw_issame, nrof_folds=10, tta=True)\n",
    "print('lfw - accuray:{}, threshold:{}'.format(accuracy, best_threshold))\n",
    "trans.ToPILImage()(roc_curve_tensor)"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
